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HSE Researchers Solve a Record Number of Computational Tasks on Supercomputer
In April, the number reached 16,830, which is more than the number solved during the entire first quarter of 2020.
During the stay-at-home order, a record increase in the number of studies using a supercomputer was registered. The computer’s workload is near the limit. The tasks of more than three dozen scholars are being solved simultaneously. According to Pavel Kostenetsky, Head of the Supercomputer Modelling Unit, the supercomputer is working normally and has been coping successfully with the increased load. Kostenetsky’s unit is providing remote supercomputer maintenance and technical support to researchers.
The pandemic has prompted scholars to explore new research areas dedicated to the fight against COVID-19. The International Laboratory of Statistical and Computational Genomics has started a project to study coronavirus phylogeny. To conduct this research, specialists from the Supercomputer Modelling Unit launched specialized parallel software for evolutionary analysis and philodynamics modelling for the computer cluster.
‘Using the computing power of the supercomputer, we plan to study the phylodynamics of coronavirus samples in order to better understand the epidemiology and the process by which the virus is spreading in our country,’ says Vladimir Shchur, Head of the International Laboratory of Statistical and Computational Genomics. ‘The results will help us to better outline the virus spread and optimize the measures being taken to contain the pandemic, as well as to determine the impact of various factors on the speed of the virus spread and the risks associated with it.’The research is being carried out in the framework of the Russian coronavirus research consortium.
TOP 5 HSE divisions by computation volume:
1. Centre of Deep Learning and Bayesian Methods
2. International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis
3. School of Applied Mathematics (MIEM)
4. Centre for Data Analysis and Machine Learning
TOP 5 research projects that create the greatest computational load:
1. Methods for the object detection with the addition of new classes
2. Lawmaking AI
3. Atomistic multiscale material modelling
4. Calculation of free energy of medicinal compound solvation in scCO2
5. Atomistic and continuum modelling in physics problems